Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Seth Linden"'
Publikováno v:
Transportation Research Interdisciplinary Perspectives, Vol 8, Iss , Pp 100253- (2020)
Numerical weather prediction (NWP), a method of weather forecasting using equations that describe atmospheric flows and behavior, is used extensively to help predict weather conditions along roadways and has important implications for maintaining saf
Externí odkaz:
https://doaj.org/article/934d3152da7c4432bba2a4e829466eb4
Autor:
Sue Ellen Haupt, Tyler C. McCandless, Susan Dettling, Stefano Alessandrini, Jared A. Lee, Seth Linden, William Petzke, Thomas Brummet, Nhi Nguyen, Branko Kosović, Gerry Wiener, Tahani Hussain, Majed Al-Rasheedi
Publikováno v:
Energies, Vol 13, Iss 8, p 1979 (2020)
A modern renewable energy forecasting system blends physical models with artificial intelligence to aid in system operation and grid integration. This paper describes such a system being developed for the Shagaya Renewable Energy Park, which is being
Externí odkaz:
https://doaj.org/article/ef3b2c22c909482f905fefa91e9f68fb
Autor:
Branko Kosovic, Sue Ellen Haupt, Daniel Adriaansen, Stefano Alessandrini, Gerry Wiener, Luca Delle Monache, Yubao Liu, Seth Linden, Tara Jensen, William Cheng, Marcia Politovich, Paul Prestopnik
Publikováno v:
Energies, Vol 13, Iss 6, p 1372 (2020)
The National Center for Atmospheric Research (NCAR) recently updated the comprehensive wind power forecasting system in collaboration with Xcel Energy addressing users’ needs and requirements by enhancing and expanding integration between numerical
Externí odkaz:
https://doaj.org/article/60b849f0304941c9b50694505a1c1b02
Autor:
William Petzke, Tyler McCandless, Jared A. Lee, Stefano Alessandrini, Seth Linden, Majed Al-Rasheedi, Thomas Brummet, Nhi Nguyen, Sue Ellen Haupt, Susan Dettling, Gerry Wiener, Tahani Hussain, Branko Kosovic
Publikováno v:
Energies; Volume 13; Issue 8; Pages: 1979
Energies, Vol 13, Iss 1979, p 1979 (2020)
Energies, Vol 13, Iss 1979, p 1979 (2020)
A modern renewable energy forecasting system blends physical models with artificial intelligence to aid in system operation and grid integration. This paper describes such a system being developed for the Shagaya Renewable Energy Park, which is being
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3bc6de4b7d5b0772321f7d7a383c97b8
Autor:
Luca Delle Monache, Marcia K. Politovich, Daniel R. Adriaansen, Tara Jensen, Gerry Wiener, Sue Ellen Haupt, William Y. Y. Cheng, Yubao Liu, Branko Kosovic, Paul Prestopnik, Stefano Alessandrini, Seth Linden
Publikováno v:
Energies; Volume 13; Issue 6; Pages: 1372
Energies, Vol 13, Iss 6, p 1372 (2020)
Energies, Vol 13, Iss 6, p 1372 (2020)
The National Center for Atmospheric Research (NCAR) recently updated the comprehensive wind power forecasting system in collaboration with Xcel Energy addressing users’ needs and requirements by enhancing and expanding integration between numerical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b82d1dca87847d1b56927f2202041885
https://doi.org/10.3390/en13061372
https://doi.org/10.3390/en13061372
Autor:
James Cowie, Tyler McCandless, Seth Linden, Sue Ellen Haupt, Stefano Alessandrini, Branko Kosovic
Publikováno v:
eScience
The National Center for Atmospheric Research (NCAR) has a long history of applying machine learning to weather forecasting challenges. The Dynamic Integrated foreCasting (DICast®) System was one of the first automated weather forecasting engines. It
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64fec4596e6f6194e3204fb052a21a74
https://doi.org/10.1109/escience.2018.00047
https://doi.org/10.1109/escience.2018.00047
Autor:
William P. Mahoney, Ben Bernstein, Jamie Wolff, Seth Linden, William L. Myers, Robert G. Hallowell, Jim Cowie, Andrew D. Stern, George Koenig, Gary Phetteplace, Paul Schultz, Paul A. Pisano, Dennis Burkheimer
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 1911:133-142
The Federal Highway Administration's Office of Transportation Operations Road Weather Management Program began a project in FY 1999 to develop a prototype winter road maintenance decision support system (MDSS). The MDSS capabilities are based on feed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58c5a837dead71853409b2a49f7e8891
https://doi.org/10.1177/0361198105191100113
https://doi.org/10.1177/0361198105191100113